DAKOTA

DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) is a general-purpose software toolkit for performing systems analysis and design on high
performance computers. It provides algorithms for
design optimization, uncertainty quantification,
parameter estimation, design of experiments, and
sensitivity analysis, as well as a range of
parallel computing and simulation interfacing
services.

Recent releases

Release Notes: The license has changed from GPL to LGPL with this release. There were numerous analysis, framework, and performance improvements along with bugfixes. New uniform and adaptive polynomial order refinement ("p-refinement") functions were provided for PCE and SC using tensor and sparse grids.

Release Notes: The license has been changed to the GNU Lesser General Public License. The JAGUAR 2.0 graphical user interface was added for creating, editing, and running DAKOTA input files. Additional discrete range and discrete set types within design, uncertain, and state variables were added. Anisotropic sparse grids, numerically-generated orthogonal polynomials, and improved expansion tailoring for stochastic expansion UQ methods were added. New methods were added for epistemic and mixed aleatory-epistemic uncertainty quantification. Other enhancements and bugfixes were made.